Machine Learning (University of Oulu)

University of Oulu: Machine Learning, 5 ECTS. In this course the focus is especially on classifiers and classification. Other topics covered include statistical regression, Bayesian decision theory and feature extraction. Contents of this course are Bayesian decision theory, discriminant functions, parametric and non-parametric classification, feature extraction, classifier design with example classifiers, statistical regression methods. Upon completion of the course, the student is able to design simple optimal classifiers from the basic theory and assess their performance. The student can also explain the Bayesian decision theory and apply it to derive minimum error classifiers and minimum cost classifiers. The student is able to apply the basics of gradient search method to design a linear discriminant function and can apply regression techniques to practical machine learning problems.